Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2165-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-2165-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Feb 2019
Research article |
| 19 Feb 2019
| 19 Feb 2019
Surface erythemal UV irradiance in the continental United States derived from ground-based and OMI observations: quality assessment, trend analysis and sampling issues
Huanxin Zhang
CORRESPONDING AUTHOR
Department of Chemical and Biochemical Engineering, The University of Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
Department of Chemical and Biochemical Engineering, The University of Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
Lorena Castro García
Department of Chemical and Biochemical Engineering, The University of Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
Jing Zeng
Department of Chemical and Biochemical Engineering, The University of Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
Connor Dennhardt
National Weather Service, El Paso, TX, USA
Rollins School of Public Health, Emory University, Atlanta, GA, USA
Nickolay A. Krotkov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Jing Wei, Zhanqing Li, Rachel T. Pinker, Jun Wang, Lin Sun, Wenhao Xue, Runze Li, and Maureen Cribb
Atmos. Chem. Phys., 21, 7863–7880, https://doi.org/10.5194/acp-21-7863-2021, https://doi.org/10.5194/acp-21-7863-2021, 2021
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Nikita M. Fedkin, Can Li, Nickolay A. Krotkov, Pascal Hedelt, Diego G. Loyola, Russell R. Dickerson, and Robert Spurr
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Alexander Vasilkov, Nickolay Krotkov, Eun-Su Yang, Lok Lamsal, Joanna Joiner, Patricia Castellanos, Zachary Fasnacht, and Robert Spurr
Atmos. Meas. Tech., 14, 2857–2871, https://doi.org/10.5194/amt-14-2857-2021, https://doi.org/10.5194/amt-14-2857-2021, 2021
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To explicitly account for aerosol effects in the OMI cloud and nitrogen dioxide algorithms, we use a model of aerosol optical properties from a global aerosol assimilation system and radiative transfer computations. Accounting for anisotropic reflection of Earth's surface is an important feature of the approach. Comparisons of the cloud and tropospheric nitrogen dioxide retrievals with implicit and explicit aerosol corrections are carried out for a selected area with high pollution.
Lok N. Lamsal, Nickolay A. Krotkov, Alexander Vasilkov, Sergey Marchenko, Wenhan Qin, Eun-Su Yang, Zachary Fasnacht, Joanna Joiner, Sungyeon Choi, David Haffner, William H. Swartz, Bradford Fisher, and Eric Bucsela
Atmos. Meas. Tech., 14, 455–479, https://doi.org/10.5194/amt-14-455-2021, https://doi.org/10.5194/amt-14-455-2021, 2021
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The NASA standard nitrogen dioxide (NO2) version 4.0 product for OMI Aura incorporates the most salient improvements. It represents the first global satellite trace gas retrieval with OMI–MODIS synergy accounting for surface reflectance anisotropy in cloud and NO2 retrievals. Improved spectral fitting procedures for NO2 and oxygen dimer (for cloud) retrievals and reliance on high-resolution field-of-view-specific input information for NO2 and cloud retrievals help enhance the NO2 data quality.
Can Li, Nickolay A. Krotkov, Peter J. T. Leonard, Simon Carn, Joanna Joiner, Robert J. D. Spurr, and Alexander Vasilkov
Atmos. Meas. Tech., 13, 6175–6191, https://doi.org/10.5194/amt-13-6175-2020, https://doi.org/10.5194/amt-13-6175-2020, 2020
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Xiao Lu, Lin Zhang, Tongwen Wu, Michael S. Long, Jun Wang, Daniel J. Jacob, Fang Zhang, Jie Zhang, Sebastian D. Eastham, Lu Hu, Lei Zhu, Xiong Liu, and Min Wei
Geosci. Model Dev., 13, 3817–3838, https://doi.org/10.5194/gmd-13-3817-2020, https://doi.org/10.5194/gmd-13-3817-2020, 2020
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Tong Sha, Xiaoyan Ma, Jun Wang, Rong Tian, Jianqi Zhao, Fang Cao, and Yan-Lin Zhang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-760, https://doi.org/10.5194/acp-2020-760, 2020
Preprint withdrawn
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Jay Herman, Alexander Cede, Liang Huang, Jerald Ziemke, Omar Torres, Nickolay Krotkov, Matthew Kowalewski, and Karin Blank
Atmos. Chem. Phys., 20, 8351–8380, https://doi.org/10.5194/acp-20-8351-2020, https://doi.org/10.5194/acp-20-8351-2020, 2020
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The amount of erythemal irradiance reaching the Earth's surface has been calculated from ozone, aerosol, and reflectivity data obtained from OMI and DSCOVR/EPIC satellite instruments showing areas with high levels of solar UV radiation. Changes in erythemal irradiance, cloud transmission, aerosol transmission, and ozone absorption have been estimated for 14 years 2005–2018 in units of percent per year for 191 locations, mostly large cities, and from EPIC for the entire illuminated Earth.
Yi Wang, Jun Wang, Xiaoguang Xu, Daven K. Henze, Zhen Qu, and Kai Yang
Atmos. Chem. Phys., 20, 6631–6650, https://doi.org/10.5194/acp-20-6631-2020, https://doi.org/10.5194/acp-20-6631-2020, 2020
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The use of OMPS satellite observations to inverse-model SO2 and NO2 emissions is presented through the GEOS-Chem adjoint modeling framework. The work is illustrated over China. The robustness of the results is studied through separate and joint inversions of SO2 and NO2 and the consideration of NH3 uncertainty. Independent validation is performed with OMI SO2 and NO2 data. It is shown that simultaneous inversion of NO2 and SO2 from OMPS provides an effective way to rapidly update emissions.
Yi Wang, Jun Wang, Meng Zhou, Daven K. Henze, Cui Ge, and Wei Wang
Atmos. Chem. Phys., 20, 6651–6670, https://doi.org/10.5194/acp-20-6651-2020, https://doi.org/10.5194/acp-20-6651-2020, 2020
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We developed four different methods to downscale SO2 and NO2 emissions derived from OMPS satellite observations (in Part 1) for regional air quality modeling at a spatial resolution that is finer than satellite observations. The VIIRS (city lights), TROPOMI, and OMI satellite data as well as surface data are used to evaluate the model. The method of using the top-down emissions from the past month for the air quality forecast in the present month is also shown to have practical merit.
Sungyeon Choi, Lok N. Lamsal, Melanie Follette-Cook, Joanna Joiner, Nickolay A. Krotkov, William H. Swartz, Kenneth E. Pickering, Christopher P. Loughner, Wyat Appel, Gabriele Pfister, Pablo E. Saide, Ronald C. Cohen, Andrew J. Weinheimer, and Jay R. Herman
Atmos. Meas. Tech., 13, 2523–2546, https://doi.org/10.5194/amt-13-2523-2020, https://doi.org/10.5194/amt-13-2523-2020, 2020
Vitali Fioletov, Chris A. McLinden, Debora Griffin, Nicolas Theys, Diego G. Loyola, Pascal Hedelt, Nickolay A. Krotkov, and Can Li
Atmos. Chem. Phys., 20, 5591–5607, https://doi.org/10.5194/acp-20-5591-2020, https://doi.org/10.5194/acp-20-5591-2020, 2020
Tongwen Wu, Fang Zhang, Jie Zhang, Weihua Jie, Yanwu Zhang, Fanghua Wu, Laurent Li, Jinghui Yan, Xiaohong Liu, Xiao Lu, Haiyue Tan, Lin Zhang, Jun Wang, and Aixue Hu
Geosci. Model Dev., 13, 977–1005, https://doi.org/10.5194/gmd-13-977-2020, https://doi.org/10.5194/gmd-13-977-2020, 2020
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This paper describes the first version of the Beijing Climate Center (BCC) fully coupled Earth System Model with interactive atmospheric chemistry and aerosols (BCC-ESM1). It is one of the models at the BCC for the Coupled Model Intercomparison Project Phase 6 (CMIP6). The CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) experiment using BCC-ESM1 has been finished. The evaluations show an overall good agreement between BCC-ESM1 simulations and observations in the 20th century.
Xiaohua Pan, Charles Ichoku, Mian Chin, Huisheng Bian, Anton Darmenov, Peter Colarco, Luke Ellison, Tom Kucsera, Arlindo da Silva, Jun Wang, Tomohiro Oda, and Ge Cui
Atmos. Chem. Phys., 20, 969–994, https://doi.org/10.5194/acp-20-969-2020, https://doi.org/10.5194/acp-20-969-2020, 2020
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The differences between these six BB emission datasets are large. Our study found that (1) most current biomass burning (BB) aerosol emission datasets derived from satellite observations lead to the underestimation of aerosol optical depth (AOD) in this model in the biomass-burning-dominated regions and (2) it is important to accurately estimate both the magnitudes and spatial patterns of regional BB emissions in order for a model using these emissions to reproduce observed AOD levels.
Fei Liu, Bryan N. Duncan, Nickolay A. Krotkov, Lok N. Lamsal, Steffen Beirle, Debora Griffin, Chris A. McLinden, Daniel L. Goldberg, and Zifeng Lu
Atmos. Chem. Phys., 20, 99–116, https://doi.org/10.5194/acp-20-99-2020, https://doi.org/10.5194/acp-20-99-2020, 2020
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We present a novel method to infer CO2 emissions from individual power plants, based on satellite observations of co-emitted NO2. We find that the CO2 emissions estimated by our satellite-based method during 2005–2017 are in reasonable agreement with the CEMS measurements for US power plants. The broader implication of our methodology is that it has the potential to provide an additional constraint on CO2 emissions from power plants in regions of the world without reliable emissions accounting.
Zachary Fasnacht, Alexander Vasilkov, David Haffner, Wenhan Qin, Joanna Joiner, Nickolay Krotkov, Andrew M. Sayer, and Robert Spurr
Atmos. Meas. Tech., 12, 6749–6769, https://doi.org/10.5194/amt-12-6749-2019, https://doi.org/10.5194/amt-12-6749-2019, 2019
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The anisotropy of Earth's surface reflection plays an important role in satellite-based retrievals of cloud, aerosol, and trace gases. Most current ultraviolet and visible satellite retrievals utilize climatological surface reflectivity databases that do not account for surface anisotropy. The GLER concept was introduced to account for such features. Here we evaluate GLER for water surfaces by comparing with OMI measurements and show that it captures these surface anisotropy features.
Jun Zhu, Xiangao Xia, Huizheng Che, Jun Wang, Zhiyuan Cong, Tianliang Zhao, Shichang Kang, Xuelei Zhang, Xingna Yu, and Yanlin Zhang
Atmos. Chem. Phys., 19, 14637–14656, https://doi.org/10.5194/acp-19-14637-2019, https://doi.org/10.5194/acp-19-14637-2019, 2019
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The long-term temporal–spatial variations of the aerosol optical properties over the Tibetan Plateau (TP) based on the multiple ground-based sun photometer sites and the MODIS product are presented. Besides, the aerosol pollution and aerosol transport processes over the TP are also analyzed by the observations and models. The results in this region could help reduce the assessment uncertainties of aerosol radiative forcing and provide more information on aerosol transportation.
Bradford L. Fisher, Nickolay A. Krotkov, Pawan K. Bhartia, Can Li, Simon A. Carn, Eric Hughes, and Peter J. T. Leonard
Atmos. Meas. Tech., 12, 5137–5153, https://doi.org/10.5194/amt-12-5137-2019, https://doi.org/10.5194/amt-12-5137-2019, 2019
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This article describes a new discrete wavelength algorithm, MS_SO2, which has been used operationally to retrieve global daily volcanic SO2 vertical column densities and the UV volcanic ash index from the Total Ozone Mapping Spectrometer (TOMS) data collected by NASA’s Nimbus-7 satellite from 1978 to 1991. We examine the sensitivity of the algorithm to the detection of SO2, evaluate potential sources of error and compare results from MS_SO2 with the Principal Component Analysis (PCA) algorithm.
Steven D. Miller, Louie D. Grasso, Qijing Bian, Sonia M. Kreidenweis, Jack F. Dostalek, Jeremy E. Solbrig, Jennifer Bukowski, Susan C. van den Heever, Yi Wang, Xiaoguang Xu, Jun Wang, Annette L. Walker, Ting-Chi Wu, Milija Zupanski, Christine Chiu, and Jeffrey S. Reid
Atmos. Meas. Tech., 12, 5101–5118, https://doi.org/10.5194/amt-12-5101-2019, https://doi.org/10.5194/amt-12-5101-2019, 2019
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Satellite–based detection of lofted mineral via infrared–window channels, well established in the literature, faces significant challenges in the presence of atmospheric moisture. Here, we consider a case featuring the juxtaposition of two dust plumes embedded within dry and moist air masses. The case is considered from the vantage points of numerical modeling, multi–sensor observations, and radiative transfer theory arriving at a new method for mitigating the water vapor masking effect.
Stephen M. Saleeby, Susan C. van den Heever, Jennie Bukowski, Annette L. Walker, Jeremy E. Solbrig, Samuel A. Atwood, Qijing Bian, Sonia M. Kreidenweis, Yi Wang, Jun Wang, and Steven D. Miller
Atmos. Chem. Phys., 19, 10279–10301, https://doi.org/10.5194/acp-19-10279-2019, https://doi.org/10.5194/acp-19-10279-2019, 2019
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This study seeks to understand how intense dust storms impact the heating and cooling of the land surface and atmosphere. Dust storms that are intense enough to substantially impact visibility can also alter how much sunlight reaches the surface during the day and how much heat is trapped in the atmosphere at night. These radiation changes can impact the temperature of the atmosphere and impact the weather in the vicinity.
Wenhan Qin, Zachary Fasnacht, David Haffner, Alexander Vasilkov, Joanna Joiner, Nickolay Krotkov, Bradford Fisher, and Robert Spurr
Atmos. Meas. Tech., 12, 3997–4017, https://doi.org/10.5194/amt-12-3997-2019, https://doi.org/10.5194/amt-12-3997-2019, 2019
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Satellite observations depend on Sun and view angles due to anisotropy of the Earth's atmosphere and surface reflection. But most of the ultraviolet and visible cloud, aerosol, and trace-gas algorithms utilize surface reflectivity databases that do not account for surface anisotropy. We create a surface database using the GLER concept which adequately accounts for surface anisotropy, validate it with independent satellite data, and provide a simple implementation to the current algorithms.
Jiarui Wu, Naifang Bei, Bo Hu, Suixin Liu, Meng Zhou, Qiyuan Wang, Xia Li, Lang Liu, Tian Feng, Zirui Liu, Yichen Wang, Junji Cao, Xuexi Tie, Jun Wang, Luisa T. Molina, and Guohui Li
Atmos. Chem. Phys., 19, 8703–8719, https://doi.org/10.5194/acp-19-8703-2019, https://doi.org/10.5194/acp-19-8703-2019, 2019
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In the present study, simulations during a persistent and heavy haze pollution episode from 5 December 2015 to 4 January 2016 in the North China Plain (NCP) were performed using the WRF-Chem model to comprehensively quantify contributions of the aerosol shortwave radiative feedback (ARF) to near-surface PM2.5 mass concentrations. During the episode, the ARF deteriorates the haze pollution, increasing the near-surface PM2.5 concentration in the NCP by 10.2 μg m−3 (7.8 %) on average.
Jiarui Wu, Naifang Bei, Bo Hu, Suixin Liu, Meng Zhou, Qiyuan Wang, Xia Li, Lang Liu, Tian Feng, Zirui Liu, Yichen Wang, Junji Cao, Xuexi Tie, Jun Wang, Luisa T. Molina, and Guohui Li
Atmos. Chem. Phys., 19, 8721–8739, https://doi.org/10.5194/acp-19-8721-2019, https://doi.org/10.5194/acp-19-8721-2019, 2019
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The near-surface PM2.5 contribution of the ALW total effect is 17.5 % in NCP, indicating that ALW plays an important role in the PM2.5 formation during the wintertime haze pollution. Moreover, the ALW-HET overwhelmingly dominates the PM2.5 enhancement due to the ALW. The ALW does not consistently enhance near-surface [PM2.5] with increasing RH. When the RH exceeds 80 %, the contribution of the ALW begins to decrease, which is caused by the high occurrence frequencies of precipitation.
Xiaoguang Xu, Jun Wang, Yi Wang, Jing Zeng, Omar Torres, Jeffrey S. Reid, Steven D. Miller, J. Vanderlei Martins, and Lorraine A. Remer
Atmos. Meas. Tech., 12, 3269–3288, https://doi.org/10.5194/amt-12-3269-2019, https://doi.org/10.5194/amt-12-3269-2019, 2019
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Detecting aerosol layer height from space is challenging. The traditional method relies on active sensors such as lidar that provide the detailed vertical structure of the aerosol profile but is costly with limited spatial coverage (more than 1 year is needed for global coverage). Here we developed a passive remote sensing technique that uses backscattered sunlight to retrieve smoke aerosol layer height over both water and vegetated surfaces from a sensor 1.5 million kilometers from the Earth.
Zongwei Ma, Riyang Liu, Yang Liu, and Jun Bi
Atmos. Chem. Phys., 19, 6861–6877, https://doi.org/10.5194/acp-19-6861-2019, https://doi.org/10.5194/acp-19-6861-2019, 2019
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This paper reviewed the air pollution control policies in China from 2005 to 2017. Then we gave an overall evaluation of the effects of these policies on PM2.5 pollution improvement in China from the perspective of satellite remote sensing. This paper can provide reference for future policy making of air pollution control in China.
Cristen Adams, Chris A. McLinden, Mark W. Shephard, Nolan Dickson, Enrico Dammers, Jack Chen, Paul Makar, Karen E. Cady-Pereira, Naomi Tam, Shailesh K. Kharol, Lok N. Lamsal, and Nickolay A. Krotkov
Atmos. Chem. Phys., 19, 2577–2599, https://doi.org/10.5194/acp-19-2577-2019, https://doi.org/10.5194/acp-19-2577-2019, 2019
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We estimated how much carbon monoxide, ammonia, and nitrogen oxides were emitted in the smoke from the Fort McMurray Horse River wildfire using satellite data and air quality models. The fire emitted amounts of carbon monoxide that were similar to anthropogenic (human-caused) emissions for all of Alberta over a full year. We also estimated large amounts of ammonia and nitrogen oxides emitted from the fire. These results can be used to evaluate the performance of air quality forecasting models.
Milija Zupanski, Anton Kliewer, Ting-Chi Wu, Karina Apodaca, Qijing Bian, Sam Atwood, Yi Wang, Jun Wang, and Steven D. Miller
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-2, https://doi.org/10.5194/acp-2019-2, 2019
Revised manuscript not accepted
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The problem of under-observed aerosol observations and in particular the vertical distribution of aerosols is addressed using a strongly coupled atmosphere-aerosol data assimilation system. In the strongly coupled system the atmospheric observations, which are more numerous in general, can impact the aerosol initial conditions. In an application over a coastal zone, results indicate that atmospheric observations have a positive impact on aerosols.
Ting-Chi Wu, Milija Zupanski, Stephen Saleeby, Anton Kliewer, Lewis Grasso, Qijing Bian, Samuel A. Atwood, Yi Wang, and Jun Wang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-1249, https://doi.org/10.5194/acp-2018-1249, 2018
Revised manuscript not accepted
Fei Liu, Sungyeon Choi, Can Li, Vitali E. Fioletov, Chris A. McLinden, Joanna Joiner, Nickolay A. Krotkov, Huisheng Bian, Greet Janssens-Maenhout, Anton S. Darmenov, and Arlindo M. da Silva
Atmos. Chem. Phys., 18, 16571–16586, https://doi.org/10.5194/acp-18-16571-2018, https://doi.org/10.5194/acp-18-16571-2018, 2018
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Sulfur dioxide measurements from space have been used to detect emissions from large sources. We developed a new emission inventory by combining the satellite-based emission estimates and the conventional bottom-up inventory for smaller sources. The new inventory improves the model agreement with in situ observations and offers the possibility of rapid updates to emissions.
Anton Kliewer, Milija Zupanski, Qijing Bian, Sam Atwood, Yi Wang, and Jun Wang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-1156, https://doi.org/10.5194/acp-2018-1156, 2018
Revised manuscript not accepted
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This research is focused on improving numerical weather prediction by including data regarding aerosols in the atmosphere. Using weather prediction models along with data assimilation (the process of marrying observations with a model prediction), a better representation of the atmosphere can be described. As no model or observational platform is ever perfect, the aerosol observations have to be de-biased (adjusting for systematic error). Here we look at two such methods.
Elizabeth M. Lennartson, Jun Wang, Juping Gu, Lorena Castro Garcia, Cui Ge, Meng Gao, Myungje Choi, Pablo E. Saide, Gregory R. Carmichael, Jhoon Kim, and Scott J. Janz
Atmos. Chem. Phys., 18, 15125–15144, https://doi.org/10.5194/acp-18-15125-2018, https://doi.org/10.5194/acp-18-15125-2018, 2018
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This paper is among the first to study the diurnal variations of AOD, PM2.5, and their relationships in South Korea. We show that the PM2.5–AOD relationship has strong diurnal variations, and, hence, using AOD data retrieved from geostationary satellite can improve the monitoring of surface PM2.5 air quality on a daily basis as well as constrain the diurnal variation of aerosol emission.
Alexander Vasilkov, Eun-Su Yang, Sergey Marchenko, Wenhan Qin, Lok Lamsal, Joanna Joiner, Nickolay Krotkov, David Haffner, Pawan K. Bhartia, and Robert Spurr
Atmos. Meas. Tech., 11, 4093–4107, https://doi.org/10.5194/amt-11-4093-2018, https://doi.org/10.5194/amt-11-4093-2018, 2018
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We discuss a new cloud algorithm that retrieves effective cloud fraction and cloud altitude and pressure from the oxygen dimer absorption band at 477 nm. The algorithm accounts for how changes in the sun–satellite geometry affect the surface reflection. The cloud fraction and pressure are used as inputs to the OMI algorithm that retrieves a pollutant gas called nitrogen dioxide. Impacts of the application of the newly developed cloud algorithm on the OMI nitrogen dioxide retrieval are discussed.
Nan Li, Qingyang He, Jim Greenberg, Alex Guenther, Jingyi Li, Junji Cao, Jun Wang, Hong Liao, Qiyuan Wang, and Qiang Zhang
Atmos. Chem. Phys., 18, 7489–7507, https://doi.org/10.5194/acp-18-7489-2018, https://doi.org/10.5194/acp-18-7489-2018, 2018
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O3 pollution has been increasing in most Chinese cities in recent years. Our study reveals that the synergistic impact of individual source contributions to O3 formation should be considered in the formation of air pollution control strategies, especially for big cities in the vicinity of forests.
Pieternel F. Levelt, Joanna Joiner, Johanna Tamminen, J. Pepijn Veefkind, Pawan K. Bhartia, Deborah C. Stein Zweers, Bryan N. Duncan, David G. Streets, Henk Eskes, Ronald van der A, Chris McLinden, Vitali Fioletov, Simon Carn, Jos de Laat, Matthew DeLand, Sergey Marchenko, Richard McPeters, Jerald Ziemke, Dejian Fu, Xiong Liu, Kenneth Pickering, Arnoud Apituley, Gonzalo González Abad, Antti Arola, Folkert Boersma, Christopher Chan Miller, Kelly Chance, Martin de Graaf, Janne Hakkarainen, Seppo Hassinen, Iolanda Ialongo, Quintus Kleipool, Nickolay Krotkov, Can Li, Lok Lamsal, Paul Newman, Caroline Nowlan, Raid Suleiman, Lieuwe Gijsbert Tilstra, Omar Torres, Huiqun Wang, and Krzysztof Wargan
Atmos. Chem. Phys., 18, 5699–5745, https://doi.org/10.5194/acp-18-5699-2018, https://doi.org/10.5194/acp-18-5699-2018, 2018
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The aim of this paper is to highlight the many successes of the Ozone Monitoring Instrument (OMI) spanning more than 13 years. Data from OMI have been used in a wide range of applications. Due to its unprecedented spatial resolution, in combination with daily global coverage, OMI plays a unique role in measuring trace gases important for the ozone layer, air quality, and climate change. OMI data continue to be used for new research and applications.
Jungbin Mok, Nickolay A. Krotkov, Omar Torres, Hiren Jethva, Zhanqing Li, Jhoon Kim, Ja-Ho Koo, Sujung Go, Hitoshi Irie, Gordon Labow, Thomas F. Eck, Brent N. Holben, Jay Herman, Robert P. Loughman, Elena Spinei, Seoung Soo Lee, Pradeep Khatri, and Monica Campanelli
Atmos. Meas. Tech., 11, 2295–2311, https://doi.org/10.5194/amt-11-2295-2018, https://doi.org/10.5194/amt-11-2295-2018, 2018
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Measuring aerosol absorption from the shortest ultraviolet (UV) to the near-infrared (NIR) wavelengths is important for studies of climate, tropospheric photochemistry, human health, and agricultural productivity. We estimate the accuracy and demonstrate consistency of aerosol absorption retrievals from different instruments, after accounting for spectrally varying surface albedo and gaseous absorption.
Anders V. Lindfors, Jukka Kujanpää, Niilo Kalakoski, Anu Heikkilä, Kaisa Lakkala, Tero Mielonen, Maarten Sneep, Nickolay A. Krotkov, Antti Arola, and Johanna Tamminen
Atmos. Meas. Tech., 11, 997–1008, https://doi.org/10.5194/amt-11-997-2018, https://doi.org/10.5194/amt-11-997-2018, 2018
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This paper describes the algorithm that will be used for estimating surface UV radiation from TROPOMI (TROPOspheric Monitoring Instrument) measurements. TROPOMI is the only payload of the Sentinel-5 Precursor (S5P), which is a polar-orbiting satellite mission of the European Space Agency (ESA). The presented algorithm has been tested using input based on previous satellite measurements. These preliminary results indicate that the algorithm is functioning according to expectations.
Brent N. Holben, Jhoon Kim, Itaru Sano, Sonoyo Mukai, Thomas F. Eck, David M. Giles, Joel S. Schafer, Aliaksandr Sinyuk, Ilya Slutsker, Alexander Smirnov, Mikhail Sorokin, Bruce E. Anderson, Huizheng Che, Myungje Choi, James H. Crawford, Richard A. Ferrare, Michael J. Garay, Ukkyo Jeong, Mijin Kim, Woogyung Kim, Nichola Knox, Zhengqiang Li, Hwee S. Lim, Yang Liu, Hal Maring, Makiko Nakata, Kenneth E. Pickering, Stuart Piketh, Jens Redemann, Jeffrey S. Reid, Santo Salinas, Sora Seo, Fuyi Tan, Sachchida N. Tripathi, Owen B. Toon, and Qingyang Xiao
Atmos. Chem. Phys., 18, 655–671, https://doi.org/10.5194/acp-18-655-2018, https://doi.org/10.5194/acp-18-655-2018, 2018
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Aerosol particles, such as smoke, vary over space and time. This paper describes a series of very high-resolution ground-based aerosol measurement networks and associated studies that contributed new understanding of aerosol processes and detailed comparisons to satellite aerosol validation. Significantly, these networks also provide an opportunity to statistically relate grab samples of an aerosol parameter to companion satellite observations, a step toward air quality assessment from space.
Yuxuan Wang, Yuanyu Xie, Wenhao Dong, Yi Ming, Jun Wang, and Lu Shen
Atmos. Chem. Phys., 17, 12827–12843, https://doi.org/10.5194/acp-17-12827-2017, https://doi.org/10.5194/acp-17-12827-2017, 2017
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Besides the well-known large impact on agriculture and water resources, drought is associated with significant adverse effects on air quality. Drought-induced degradation of air quality is largely due to natural processes, offsetting the effort of anthropogenic emission reduction during the past decades. Such adverse impacts should be included in modeling processes under current and future climate for mitigation policy.
Vitali Fioletov, Chris A. McLinden, Shailesh K. Kharol, Nickolay A. Krotkov, Can Li, Joanna Joiner, Michael D. Moran, Robert Vet, Antoon J. H. Visschedijk, and Hugo A. C. Denier van der Gon
Atmos. Chem. Phys., 17, 12597–12616, https://doi.org/10.5194/acp-17-12597-2017, https://doi.org/10.5194/acp-17-12597-2017, 2017
Nickolay A. Krotkov, Lok N. Lamsal, Edward A. Celarier, William H. Swartz, Sergey V. Marchenko, Eric J. Bucsela, Ka Lok Chan, Mark Wenig, and Marina Zara
Atmos. Meas. Tech., 10, 3133–3149, https://doi.org/10.5194/amt-10-3133-2017, https://doi.org/10.5194/amt-10-3133-2017, 2017
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We describe the new version 3 OMI NO2 standard product (SPv3) based on significant improvements in both the estimation of the SCDs and the AMFs. The new SCDs and stratospheric VCDs are systematically lower (by ~ 10–40 %) than previous estimates. Tropospheric VCDs are also reduced over polluted areas. Initial evaluation over unpolluted areas has shown that the new SPv3 products agree better with independent satellite- and ground-based FTIR measurements.
Georgina M. Miles, Richard Siddans, Roy G. Grainger, Alfred J. Prata, Bradford Fisher, and Nickolay Krotkov
Atmos. Meas. Tech., 10, 2687–2702, https://doi.org/10.5194/amt-10-2687-2017, https://doi.org/10.5194/amt-10-2687-2017, 2017
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Volcanic eruptions are important in the way they perturb the climate and help us understand atmospheric processes. We show a new method to measure the SO2 released by explosive volcanic eruptions using the HIRS/2 satellite instrument, which measured atmospheric temperature and H2O. We apply the technique to the 1991 eruption of Cerro Hudson and show it is possible to detect SO2 with a good degree of accuracy. This method and instrument can potentially generate a climate-significant record.
Yan Zhang, Can Li, Nickolay A. Krotkov, Joanna Joiner, Vitali Fioletov, and Chris McLinden
Atmos. Meas. Tech., 10, 1495–1509, https://doi.org/10.5194/amt-10-1495-2017, https://doi.org/10.5194/amt-10-1495-2017, 2017
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In this study, we demonstrate a very good consistency of the SO2 retrievals from OMI and OMPS using our state-of-the-art principal component analysis technique. Four full years of OMI and OMPS SO2 retrievals, during 2012–2015 have been analyzed over some of the world’s most polluted regions: eastern China, Mexico, and South Africa. The consistency of retrievals between OMI and OMPS make it possible to continue the long-term global SO2 pollution monitoring.
Alba Lorente, K. Folkert Boersma, Huan Yu, Steffen Dörner, Andreas Hilboll, Andreas Richter, Mengyao Liu, Lok N. Lamsal, Michael Barkley, Isabelle De Smedt, Michel Van Roozendael, Yang Wang, Thomas Wagner, Steffen Beirle, Jin-Tai Lin, Nickolay Krotkov, Piet Stammes, Ping Wang, Henk J. Eskes, and Maarten Krol
Atmos. Meas. Tech., 10, 759–782, https://doi.org/10.5194/amt-10-759-2017, https://doi.org/10.5194/amt-10-759-2017, 2017
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Choices and assumptions made to represent the state of the atmosphere introduce an uncertainty of 42 % in the air mass factor calculation in trace gas satellite retrievals in polluted regions. The AMF strongly depends on the choice of a priori trace gas profile, surface albedo data set and the correction method to account for clouds and aerosols. We call for well-designed validation exercises focusing on situations when AMF structural uncertainty has the highest impact on satellite retrievals.
Can Li, Nickolay A. Krotkov, Simon Carn, Yan Zhang, Robert J. D. Spurr, and Joanna Joiner
Atmos. Meas. Tech., 10, 445–458, https://doi.org/10.5194/amt-10-445-2017, https://doi.org/10.5194/amt-10-445-2017, 2017
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In this paper, we describe the new-generation OMI volcanic SO2 algorithm based on our principal component analysis (PCA) retrieval technique. We demonstrate significant improvement in the our new OMI volcanic SO2 data, with the retrieval noise reduced by a factor of 2 as compared with the previous dataset. The algorithm also improves the accuracy for large volcanic eruptions. It is also capable of producing consistent retrievals between different instruments.
Alexander Vasilkov, Wenhan Qin, Nickolay Krotkov, Lok Lamsal, Robert Spurr, David Haffner, Joanna Joiner, Eun-Su Yang, and Sergey Marchenko
Atmos. Meas. Tech., 10, 333–349, https://doi.org/10.5194/amt-10-333-2017, https://doi.org/10.5194/amt-10-333-2017, 2017
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We show how the surface reflection can vary day to day in the blue part of the sun's spectrum where we measure the pollutant gas nitrogen dioxide using a satellite instrument called OMI. We use information from an imaging spectrometer on another satellite, MODIS, to estimate the angular surface effects. We can then use models of how the sunlight travels through the atmosphere to predict how the angle-dependent surface reflection will impact the values of pollutant levels inferred by OMI.
Iolanda Ialongo, Jay Herman, Nick Krotkov, Lok Lamsal, K. Folkert Boersma, Jari Hovila, and Johanna Tamminen
Atmos. Meas. Tech., 9, 5203–5212, https://doi.org/10.5194/amt-9-5203-2016, https://doi.org/10.5194/amt-9-5203-2016, 2016
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We present the comparison between satellite- and ground-based atmospheric NO2 observations in Helsinki (Finland). The results show that, despite some limitations due to cloud contamination and low solar angles, satellite data are able to describe urban air quality features such as the weekly and seasonal cycles. The results support air quality satellite data exploitation at high latitudes and prepare for similar applications for future missions.
Vitali E. Fioletov, Chris A. McLinden, Nickolay Krotkov, Can Li, Joanna Joiner, Nicolas Theys, Simon Carn, and Mike D. Moran
Atmos. Chem. Phys., 16, 11497–11519, https://doi.org/10.5194/acp-16-11497-2016, https://doi.org/10.5194/acp-16-11497-2016, 2016
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We introduce the first space-based catalogue of SO2 emission sources seen by OMI. The inventory contains about 500 sources. They account for about a half of all SO2 emissions; the remaining half is likely related to sources emitting less than 30 kt yr−1 and not detected by OMI. The sources are grouped by type (volcanoes, power plants, oil- and gas-related sources, and smelters) and country. The catalogue presented herein can be used for verification of available SO2 emission inventories.
Cristen Adams, Elise N. Normand, Chris A. McLinden, Adam E. Bourassa, Nicholas D. Lloyd, Douglas A. Degenstein, Nickolay A. Krotkov, Maria Belmonte Rivas, K. Folkert Boersma, and Henk Eskes
Atmos. Meas. Tech., 9, 4103–4122, https://doi.org/10.5194/amt-9-4103-2016, https://doi.org/10.5194/amt-9-4103-2016, 2016
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A new "OMI-minus-OSIRIS" (OmO) prototype dataset for tropospheric NO2 was created by combining information from the OMI satellite instrument, which is sensitive to NO2 in both the troposphere and stratosphere, with information from the OSIRIS satellite instrument, which measures NO2 in the stratosphere. This paper demonstrates that this approach is feasible and could be applied to future geostationary missions.
Graydon Snider, Crystal L. Weagle, Kalaivani K. Murdymootoo, Amanda Ring, Yvonne Ritchie, Emily Stone, Ainsley Walsh, Clement Akoshile, Nguyen Xuan Anh, Rajasekhar Balasubramanian, Jeff Brook, Fatimah D. Qonitan, Jinlu Dong, Derek Griffith, Kebin He, Brent N. Holben, Ralph Kahn, Nofel Lagrosas, Puji Lestari, Zongwei Ma, Amit Misra, Leslie K. Norford, Eduardo J. Quel, Abdus Salam, Bret Schichtel, Lior Segev, Sachchida Tripathi, Chien Wang, Chao Yu, Qiang Zhang, Yuxuan Zhang, Michael Brauer, Aaron Cohen, Mark D. Gibson, Yang Liu, J. Vanderlei Martins, Yinon Rudich, and Randall V. Martin
Atmos. Chem. Phys., 16, 9629–9653, https://doi.org/10.5194/acp-16-9629-2016, https://doi.org/10.5194/acp-16-9629-2016, 2016
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We examine the chemical composition of fine particulate matter (PM2.5) collected on filters at traditionally undersampled, globally dispersed urban locations. Several PM2.5 chemical components (e.g. ammonium sulfate, ammonium nitrate, and black carbon) vary by more than an order of magnitude between sites while aerosol hygroscopicity varies by a factor of 2. Enhanced anthropogenic dust fractions in large urban areas are apparent from high Zn : Al ratios.
Shouguo Ding, Jun Wang, and Xiaoguang Xu
Atmos. Meas. Tech., 9, 2077–2092, https://doi.org/10.5194/amt-9-2077-2016, https://doi.org/10.5194/amt-9-2077-2016, 2016
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Knowledge on the vertical distribution of aerosols in the atmospheric is important for studying aerosol impacts on air quality and climate change. The polarization measurements in O2 A and B bands is shown here theoretically to have rich information for characterizing aerosol vertical profile over land. This paper presents a passive remote sensing technique supplementary to the existing technique to retrieve aerosol vertical distribution over land from space.
Nickolay A. Krotkov, Chris A. McLinden, Can Li, Lok N. Lamsal, Edward A. Celarier, Sergey V. Marchenko, William H. Swartz, Eric J. Bucsela, Joanna Joiner, Bryan N. Duncan, K. Folkert Boersma, J. Pepijn Veefkind, Pieternel F. Levelt, Vitali E. Fioletov, Russell R. Dickerson, Hao He, Zifeng Lu, and David G. Streets
Atmos. Chem. Phys., 16, 4605–4629, https://doi.org/10.5194/acp-16-4605-2016, https://doi.org/10.5194/acp-16-4605-2016, 2016
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We examine changes in SO2 and NO2 over the world's most polluted regions during the first decade of Aura OMI observations. Over the eastern US, both NO2 and SO2 levels decreased by 40 % and 80 %, respectively. OMI confirmed large reductions in SO2 over eastern Europe's largest coal power plants. The North China Plain has the world's most severe SO2 pollution, but a decreasing trend been observed since 2011, with a 50 % reduction in 2012–2014. India's SO2 and NO2 levels are growing at a fast pace.
Min Zhong, Eri Saikawa, Yang Liu, Vaishali Naik, Larry W. Horowitz, Masayuki Takigawa, Yu Zhao, Neng-Huei Lin, and Elizabeth A. Stone
Geosci. Model Dev., 9, 1201–1218, https://doi.org/10.5194/gmd-9-1201-2016, https://doi.org/10.5194/gmd-9-1201-2016, 2016
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Large discrepancies exist among emission inventories (e.g., REAS and EDGAR) at the provincial level in China. We use WRF-Chem to evaluate the impact of the difference in existing emission inventories and find that emissions inputs significantly affect our air pollutant simulation results. Our study highlights the importance of constraining emissions at the provincial level for regional air quality modeling over East Asia.
Q. Xiao, H. Zhang, M. Choi, S. Li, S. Kondragunta, J. Kim, B. Holben, R. C. Levy, and Y. Liu
Atmos. Chem. Phys., 16, 1255–1269, https://doi.org/10.5194/acp-16-1255-2016, https://doi.org/10.5194/acp-16-1255-2016, 2016
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Using ground AOD measurements from AERONET, DRAGON-Asia Campaign, and handheld sunphotometers, we evaluated emerging aerosol products from VIIRS, GOCI, and Terra and Aqua MODIS (Collection 6) in East Asia in 2012–2013. We found that satellite aerosol products performed better in tracking the day-to-day variability than the high-resolution spatial variability. VIIRS EDR and GOCI products provided the most accurate AOD retrievals, while VIIRS IP and MODIS C6 3 km products had positive biases.
J.-W. Xu, R. V. Martin, A. van Donkelaar, J. Kim, M. Choi, Q. Zhang, G. Geng, Y. Liu, Z. Ma, L. Huang, Y. Wang, H. Chen, H. Che, P. Lin, and N. Lin
Atmos. Chem. Phys., 15, 13133–13144, https://doi.org/10.5194/acp-15-13133-2015, https://doi.org/10.5194/acp-15-13133-2015, 2015
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1. GOCI (Geostationary Ocean Color Imager) retrieval of AOD is consistent with AERONET AOD (RMSE=0.08-0.1)
2. GOCI-derived PM2.5 is in significant agreement with in situ observations (r2=0.66, rRMSE=18.3%)
3. Population-weighted GOCI-derived PM2.5 over eastern China for 2013 is 53.8 μg/m3, threatening the health of its more than 400 million residents
4. Secondary inorganics (SO42-, NO3-, NH4+) & organic matter are the most significant components of GOCI-derived PM2.5.
I. Ialongo, J. Hakkarainen, R. Kivi, P. Anttila, N. A. Krotkov, K. Yang, C. Li, S. Tukiainen, S. Hassinen, and J. Tamminen
Atmos. Meas. Tech., 8, 2279–2289, https://doi.org/10.5194/amt-8-2279-2015, https://doi.org/10.5194/amt-8-2279-2015, 2015
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The SO2 observations from OMI and OMPS satellite instruments are compared to ground-based measurements during the Icelandic Holuhraun fissure eruption in September 2014. The best agreement with the Brewer observations in Sodankylä, Finland can be found, assuming the SO2 predominantly located in the lowest levels of the atmosphere. The analysis of the SO2 surface concentrations in northern Finland supports the hypothesis that the volcanic plume was located very close to the surface.
S. Li, R. Kahn, M. Chin, M. J. Garay, and Y. Liu
Atmos. Meas. Tech., 8, 1157–1171, https://doi.org/10.5194/amt-8-1157-2015, https://doi.org/10.5194/amt-8-1157-2015, 2015
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We demonstrate a post-processing technique to improve MISR-retrieved aerosol optical properties when information content is low. By filtering the list of aerosol mixtures that pass the MISR retrieval acceptance criteria using pre-defined discrepancy thresholds between MISR and GOCART model simulations, the adjusted MISR Angstrom exponent (ANG) and absorbing AOD (AAOD) agree significantly better with sun-photometer validation data, especially when AOD<0.2 for ANG and AOD<0.5 for AAOD.
G. Snider, C. L. Weagle, R. V. Martin, A. van Donkelaar, K. Conrad, D. Cunningham, C. Gordon, M. Zwicker, C. Akoshile, P. Artaxo, N. X. Anh, J. Brook, J. Dong, R. M. Garland, R. Greenwald, D. Griffith, K. He, B. N. Holben, R. Kahn, I. Koren, N. Lagrosas, P. Lestari, Z. Ma, J. Vanderlei Martins, E. J. Quel, Y. Rudich, A. Salam, S. N. Tripathi, C. Yu, Q. Zhang, Y. Zhang, M. Brauer, A. Cohen, M. D. Gibson, and Y. Liu
Atmos. Meas. Tech., 8, 505–521, https://doi.org/10.5194/amt-8-505-2015, https://doi.org/10.5194/amt-8-505-2015, 2015
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Short summary
We have initiated a global network of ground-level monitoring stations to measure concentrations of fine aerosols in urban environments. Our findings include major ions species, total mass, and total scatter at three wavelengths. Results will be used to further evaluate and enhance satellite remote sensing estimates.
L. N. Lamsal, N. A. Krotkov, E. A. Celarier, W. H. Swartz, K. E. Pickering, E. J. Bucsela, J. F. Gleason, R. V. Martin, S. Philip, H. Irie, A. Cede, J. Herman, A. Weinheimer, J. J. Szykman, and T. N. Knepp
Atmos. Chem. Phys., 14, 11587–11609, https://doi.org/10.5194/acp-14-11587-2014, https://doi.org/10.5194/acp-14-11587-2014, 2014
A. Rocha-Lima, J. V. Martins, L. A. Remer, N. A. Krotkov, M. H. Tabacniks, Y. Ben-Ami, and P. Artaxo
Atmos. Chem. Phys., 14, 10649–10661, https://doi.org/10.5194/acp-14-10649-2014, https://doi.org/10.5194/acp-14-10649-2014, 2014
S. Choi, J. Joiner, Y. Choi, B. N. Duncan, A. Vasilkov, N. Krotkov, and E. Bucsela
Atmos. Chem. Phys., 14, 10565–10588, https://doi.org/10.5194/acp-14-10565-2014, https://doi.org/10.5194/acp-14-10565-2014, 2014
I. Ialongo, J. Hakkarainen, N. Hyttinen, J.-P. Jalkanen, L. Johansson, K. F. Boersma, N. Krotkov, and J. Tamminen
Atmos. Chem. Phys., 14, 7795–7805, https://doi.org/10.5194/acp-14-7795-2014, https://doi.org/10.5194/acp-14-7795-2014, 2014
X. Hu, L. A. Waller, A. Lyapustin, Y. Wang, and Y. Liu
Atmos. Chem. Phys., 14, 6301–6314, https://doi.org/10.5194/acp-14-6301-2014, https://doi.org/10.5194/acp-14-6301-2014, 2014
C. A. McLinden, V. Fioletov, K. F. Boersma, S. K. Kharol, N. Krotkov, L. Lamsal, P. A. Makar, R. V. Martin, J. P. Veefkind, and K. Yang
Atmos. Chem. Phys., 14, 3637–3656, https://doi.org/10.5194/acp-14-3637-2014, https://doi.org/10.5194/acp-14-3637-2014, 2014
V. Buchard, A. M. da Silva, P. Colarco, N. Krotkov, R. R. Dickerson, J. W. Stehr, G. Mount, E. Spinei, H. L. Arkinson, and H. He
Atmos. Chem. Phys., 14, 1929–1941, https://doi.org/10.5194/acp-14-1929-2014, https://doi.org/10.5194/acp-14-1929-2014, 2014
C. Ge, J. Wang, and J. S. Reid
Atmos. Chem. Phys., 14, 159–174, https://doi.org/10.5194/acp-14-159-2014, https://doi.org/10.5194/acp-14-159-2014, 2014
B. S. Meland, X. Xu, D. K. Henze, and J. Wang
Atmos. Meas. Tech., 6, 3441–3457, https://doi.org/10.5194/amt-6-3441-2013, https://doi.org/10.5194/amt-6-3441-2013, 2013
E. J. Bucsela, N. A. Krotkov, E. A. Celarier, L. N. Lamsal, W. H. Swartz, P. K. Bhartia, K. F. Boersma, J. P. Veefkind, J. F. Gleason, and K. E. Pickering
Atmos. Meas. Tech., 6, 2607–2626, https://doi.org/10.5194/amt-6-2607-2013, https://doi.org/10.5194/amt-6-2607-2013, 2013
Y. Gao, J. S. Fu, J. B. Drake, J.-F. Lamarque, and Y. Liu
Atmos. Chem. Phys., 13, 9607–9621, https://doi.org/10.5194/acp-13-9607-2013, https://doi.org/10.5194/acp-13-9607-2013, 2013
J. Wang, S. Park, J. Zeng, C. Ge, K. Yang, S. Carn, N. Krotkov, and A. H. Omar
Atmos. Chem. Phys., 13, 1895–1912, https://doi.org/10.5194/acp-13-1895-2013, https://doi.org/10.5194/acp-13-1895-2013, 2013
Related subject area
Subject: Radiation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Direct measurements of the effect of biomass burning over the Amazon on the atmospheric temperature profile
A. Davidi, I. Koren, and L. Remer
Atmos. Chem. Phys., 9, 8211–8221, https://doi.org/10.5194/acp-9-8211-2009, https://doi.org/10.5194/acp-9-8211-2009, 2009
Cited articles
Andrady, A. L., Aucamp, P. J., Austin, A., Bais, A. F., Ballaré, C. L.,
Barnes, P. W., Bernhard, G. H., Bornman, J. F., Caldwell, M. M., de Gruijl, F.
R., Erickson III, D. J., Flint, S. D., Gao, K., Gies, P., Häder, D.-P.,
Ilyas, M., Longstreth, J., Lucas, R., Madronich, S., McKenzie, R. L., Neale, R.,
Norval, M., Pandy, K. K., Paul, N. D., Rautio, M., Redhwi, H., Robinson, S. A.,
Rose, K., Shao, M., Sinha, R. P., Solomon, K. R., Sulzberger, B., Takizawa, Y.,
Tang, X., Torikai, A., Tourpali, K., van der Leun, J. C., Wängberg, S.-Å.,
Williamson, C. E., Wilson, S. R., Worrest, R. C., Young, A. R., and Zepp, R. G.:
Environmental effects of ozone depletion and its interactions with climate
change: 2014 assessment Executive summary, Photochem. Photobiol. Sci., 14,
14–18, https://doi.org/10.1039/C4PP90042A, 2015.
Antón, M., Cachorro, V., Vilaplana, J., Toledano, C., Krotkov, N., Arola,
A., Serrano, A., and Morena, B.: Comparison of UV irradiances from Aura/Ozone
Monitoring Instrument (OMI) with Brewer measurements at El Arenosillo
(Spain) – Part 1: Analysis of parameter influence, Atmos. Chem. Phys., 10,
5979–5989, https://doi.org/10.5194/acp-10-5979-2010, 2010.
Arola, A., Kazadzis, S., Krotkov, N., Bais, A., Gröbner, J., and Herman,
J. R.: Assessment of TOMS UV bias due to absorbing aerosols, J. Geophys.
Res.-Atmos., 110, D23211, https://doi.org/10.1029/2005JD005913, 2005.
Arola, A., Kazadzis, S., Lindfors, A., Krotkov, N., Kujanpää, J.,
Tamminen, J., Bais, A., di Sarra, A., Villaplana, J. M., Brogniez, C., Siani,
A. M., Janouch, M., Weihs, P., Webb, A., Koskela, T., Kouremeti, N., Meloni, D.,
Buchard, V., Auriol, F., Ialongo, I., Staneck, M., Simic, S., Smedley, A., and
Kinne, S.: A new approach to correct for absorbing aerosols in OMI UV, Geophys.
Res. Lett., 36, L22805, https://doi.org/10.1029/2009GL041137, 2009.
Bernhard, G. and Seckmeyer, G.: Uncertainty of measurements of spectral solar
UV irradiance, J. Geophys. Res.-Atmos., 104, 14321–14345, 1999.
Bernhard, G., Arola, A., Dahlback, A., Fioletov, V., Heikkilä, A., Johnsen,
B., Koskela, T., Lakkala, K., Svendby, T., and Tamminen, J.: Comparison of OMI
UV observations with ground-based measurements at high northern latitudes,
Atmos. Chem. Phys., 15, 7391–7412, https://doi.org/10.5194/acp-15-7391-2015, 2015.
Bigelow, D. S., Slusser, J., Beaubien, A., and Gibson, J.: The USDA ultraviolet
radiation monitoring program, B. Am. Meteorol. Soc., 79, 601–615, 1998.
Bornman, J. F. and Teramura, A. H.: Effects of ultraviolet-B radiation on
terrestrial plants, in: Environmental UV photobiology, Springer, Boston, MA, 427–471, 1993.
Boys, B., Martin, R., Van Donkelaar, A., MacDonell, R., Hsu, N., Cooper, M.,
Yantosca, R., Lu, Z., Streets, D., and Zhang, Q.: Fifteen-year global time
series of satellite-derived fine particulate matter, Environ. Sci. Technol.,
48, 11109–11118, 2014.
Buchard, V., Brogniez, C., Auriol, F., Bonnel, B., Lenoble, J., Tanskanen, A.,
Bojkov, B., and Veefkind, P.: Comparison of OMI ozone and UV irradiance data
with ground-based measurements at two French sites, Atmos. Chem. Phys., 8,
4517–4528, https://doi.org/10.5194/acp-8-4517-2008, 2008.
Buntoung, S. and Webb, A.: Comparison of erythemal UV irradiances from Ozone
Monitoring Instrument (OMI) and ground-based data at four Thai stations, J.
Geophys. Res.-Atmos., 115, D18215, https://doi.org/10.1029/2009JD013567, 2010.
Cabrera, S., Ipiña, A., Damiani, A., Cordero, R. R., and Piacentini, R. D.:
UV index values and trends in Santiago, Chile (33.5∘ S) based on ground
and satellite data, J. Photochem. Photobiol. B, 115, 73–84, 2012.
Caldwell, M., Teramura, A. H., Tevini, M., Bornman, J., Björn, L. O., and
Kulandaivelu, G.: Effects of increased solar ultraviolet-radiation on terrestrial
plants, Ambio, 24, 166–173, 1995.
Cede, A., Luccini, E., Nuñez, L., Piacentini, R. D., Blumthaler, M., and
Herman, J. R.: TOMS-derived erythemal irradiance versus measurements at the
stations of the Argentine UV Monitoring Network, J. Geophys. Res.-Atmos., 109,
D08109, https://doi.org/10.1029/2004JD004519, 2004.
Chubarova, N. Y., Yurova, A. Y., Krotkov, N. A., Herman, J. R., and Bhartia,
P. K.: Comparisons between ground measurements of UV irradiance 290 to 380 nm
and TOMS UV estimates over Moscow for 1979–2000, Opt. Eng., 41, 3070–3081, 2002.
Deirmendjian, D.: Electromagnetic scattering on spherical polydispersions,
Rand Corp, Santa Monica, CA, 1969.
Eck, T. F., Bhartia, P. K., and Kerr, J. B.: Satellite estimation of spectral
UVB irradiance using TOMS derived total ozone and UV reflectivity, Geophys.
Res. Lett., 22, 611–614, https://doi.org/10.1029/95GL00111, 1995.
Eide, M. J. and Weinstock, M. A.: Association of UV index, latitude, and melanoma
incidence in nonwhite populations – US Surveillance, Epidemiology, and End
Results (SEER) Program, 1992 to 2001, Arch. Dermatol., 141, 477–481, 2005.
Farman, J. C., Gardiner, B. G., and Shanklin, J. D.: Large losses of total
ozone in Antarctica reveal seasonal ClOx∕NOx interaction,
Nature, 315, 207–210, 1985.
Fioletov, V., Bodeker, G., Miller, A., McPeters, R., and Stolarski, R.: Global
and zonal total ozone variations estimated from ground-based and satellite
measurements: 1964–2000, J. Geophys. Res.-Atmos., 107, 4647, https://doi.org/10.1029/2001JD001350, 2002.
Gao, W., Davis, J. M., Tree, R., Slusser, J. R., and Schmoldt, D.: An ultraviolet
radiation monitoring and research program for agriculture, in: UV Radiation in
Global Climate Change, Springer, Berlin, Heidelberg, 205–243, 2010.
Herman, J., Krotkov, N., Celarier, E., Larko, D., and Labow, G.: Distribution
of UV radiation at the Earth's surface from TOMS-measured UV-backscattered
radiances, J. Geophys. Res.-Atmos., 104, 12059–12076, 1999.
Ialongo, I., Casale, G. R., and Siani, A. M.: Comparison of total ozone and
erythemal UV data from OMI with ground-based measurements at Rome station,
Atmos. Chem. Phys., 8, 3283–3289, https://doi.org/10.5194/acp-8-3283-2008, 2008.
Ingmann, P., Veihelmann, B., Langen, J., Lamarre, D., Stark, H., and
Courrèges-Lacoste, G. B.: Requirements for the GMES Atmosphere Service and
ESA's implementation concept: Sentinels-4/-5 and-5p, Remote Sens. Environ.,
120, 58–69, 2012.
Janjai, S., Wisitsirikun, S., Buntoung, S., Pattarapanitchai, S., Wattan, R.,
Masiri, I., and Bhattarai, B.: Comparison of UV index from Ozone Monitoring
Instrument (OMI) with multi-channel filter radiometers at four sites in the
tropics: effects of aerosols and clouds, Int. J. Climatol., 34, 453–461, 2014.
Kalliskota, S., Kaurola, J., Taalas, P., Herman, J. R., Celarier, E. A., and
Krotkov, N. A.: Comparison of daily UV doses estimated from Nimbus 7/TOMS
measurements and ground-based spectroradiometric data, J. Geophys. Res.-Atmos.,
105, 5059–5067, 2000.
Kazadzis, S., Bais, A., Arola, A., Krotkov, N., Kouremeti, N., and Meleti, C.:
Ozone Monitoring Instrument spectral UV irradiance products: comparison with
ground based measurements at an urban environment, Atmos. Chem. Phys., 9,
585–594, https://doi.org/10.5194/acp-9-585-2009, 2009a.
Kazadzis, S., Bais, A., Balis, D., Kouremeti, N., Zempila, M., Arola, A.,
Giannakaki, E., Amiridis, V., and Kazantzidis, A.: Spatial and temporal
UV irradiance and aerosol variability within the area of an OMI satellite
pixel, Atmos. Chem. Phys., 9, 4593–4601, https://doi.org/10.5194/acp-9-4593-2009, 2009b.
Kazantzidis, A., Bais, A., Gröbner, J., Herman, J., Kazadzis, S., Krotkov,
N., Kyrö, E., Den Outer, P., Garane, K., and Görts, P.: Comparison of
satellite-derived UV irradiances with ground-based measurements at four European
stations, J. Geophys. Res.-Atmos., 111, D13207, https://doi.org/10.1029/2005JD006672, 2006.
Kimlin, M. G., Slusser, J. R., Schallhorn, K. A., Lantz, K. O., and Meltzer,
R. S.: Comparison of ultraviolet data from colocated instruments from the
US EPA Brewer Spectrophotometer Network and the US Department of Agriculture
UV-B Monitoring and Research Program, Opt. Eng., 44, 041009, https://doi.org/10.1117/1.1885470, 2005.
Koh, H. K., Geller, A. C., Miller, D. R., Grossbart, T. A., and Lew, R. A.:
Prevention and early detection strategies for melanoma and skin cancer: current
status, Arch. Dermatol., 132, 436–443, 1996.
Krotkov, N. A., Bhartia, P. K., Herman, J. R., Fioletov, V., and Kerr, J.:
Satellite estimation of spectral surface UV irradiance in the presence of
tropospheric aerosols: 1. Cloud-free case, J. Geophys. Res.-Atmos., 103,
8779–8793, https://doi.org/10.1029/98JD00233, 1998.
Krotkov, N. A., Herman, J. R., Bhartia, P. K., Fioletov, V., and Ahmad, Z.:
Satellite estimation of spectral surface UV irradiance: 2. Effects of homogeneous
clouds and snow, J. Geophys. Res.-Atmos., 106, 11743–11759, https://doi.org/10.1029/2000JD900721, 2001.
Krotkov, N. A., Herman, J. R., Bhartia, P. K., Seftor, C. J., Arola, A.,
Kaurola, J., Kalliskota, S., Taalas, P., and Geogdzhayev, I. V.: Version 2
total ozone mapping spectrometer ultraviolet algorithm: Problems and enhancements,
Opt. Eng., 41, 3028–3040, 2002.
Krzyścin, J. W., Sobolewski, P. S., Jarosławski, J., Podgórski, J.,
and Rajewska-Więch, B.: Erythemal UV observations at Belsk, Poland, in the
period 1976–2008: Data homogenization, climatology, and trends, Acta Geophysica,
59, 155–182, 2011.
Lakkala, K., Asmi, E., Meinander, O., Hamari, B., Redondas, A., Almansa Rodríguez,
A. F., Carreño Corbella, V., Ochoa, H., and Deferrari, G.: Observations
from the NILU-UV Antarctic network since 2000, 2014.
Lantz, K. O., Disterhoft, P., DeLuisi, J. J., Early, E., Thompson, A., Bigelow,
D., and Slusser, J.: Methodology for deriving clear-sky erythemal calibration
factors for UV broadband radiometers of the US Central UV Calibration Facility,
J. Atmos. Ocean. Tech., 16, 1736–1752, 1999.
Lemus-Deschamps, L. and Makin, J. K.: Fifty years of changes in UV Index and
implications for skin cancer in Australia, Int. J. Biometeorol., 56, 727–735, 2012.
Levelt, P. F., van den Oord, G. H., Dobber, M. R., Malkki, A., Visser, H.,
de Vries, J., Stammes, P., Lundell, J. O., and Saari, H.: The ozone monitoring
instrument, IEEE T. Geosci. Remote, 44, 1093–1101, 2006.
McKenzie, R., Seckmeyer, G., Bais, A., Kerr, J., and Madronich, S.: Satellite
retrievals of erythemal UV dose compared with ground-based measurements at
northern and southern midlatitudes, J. Geophys. Res.-Atmos., 106, 24051–24062, 2001.
McKenzie, R., Smale, D., and Kotkamp, M.: Relationship between UVB and
erythemally weighted radiation, Photochem. Photobiol. Sci., 3, 252–256, 2004.
McKenzie, R., Bodeker, G., Scott, G., Slusser, J., and Lantz, K.: Geographical
differences in erythemally-weighted UV measured at mid-latitude USDA sites,
Photochem. Photobiol. Sci., 5, 343–352, 2006.
McKinlay, A. and Diffey, B.: A reference action spectrum for ultraviolet
erythema in human skin, CIE J., 6, 17–22, 1987.
Pandey, P., Gillotay, D., and Depiesse, C.: Climatology of ultra violet (UV)
irradiance at the surface of the earth as measured by the Belgian UV radiation
monitoring network, in: Proceedings of Living Planet Symposium, 9–13 May 2016,
Prague, Czech Republic, 9–13, 2016.
Sabburg, J., Rives, J., Meltzer, R., Taylor, T., Schmalzle, G., Zheng, S.,
Huang, N., Wilson, A., and Udelhofen, P.: Comparisons of corrected daily
integrated erythemal UVR data from the US EPA/UGA network of Brewer
spectroradiometers with model and TOMS-inferred data, J. Geophys. Res.-Atmos.,
107, 4676, https://doi.org/10.1029/2001JD001565, 2002.
Scotto, J., Cotton, G., Urbach, F., Berger, D., and Fears, T.: Biologically
effective ultraviolet radiation: surface measurements in the United States,
1974 to 1985, Science, 239, 762–764, 1988.
Seckmeyer, G., Bais, A., Bernhard, G., Blumthaler, M., Booth, C., Lantz, K.,
McKenzie, R., Disterhoft, P., and Webb, A.: Instruments to measure solar
ultraviolet radiation. Part 2: Broadband instruments measuring erythemally
weighted solar irradiance, WMO TD-1289, World Meteorological Organization (WMO),
Geneva, Switzerland, 2005.
Tanskanen, A., Krotkov, N. A., Herman, J. R., and Arola, A.: Surface ultraviolet
irradiance from OMI, IEEE T. Geosci. Remote, 44, 1267–1271, 2006.
Tanskanen, A., Lindfors, A., Määttä, A., Krotkov, N., Herman, J.,
Kaurola, J., Koskela, T., Lakkala, K., Fioletov, V., and Bernhard, G.: Validation
of daily erythemal doses from Ozone Monitoring Instrument with ground-based
UV measurement data, J. Geophys. Res.-Atmos., 112, D24S44, https://doi.org/10.1029/2007JD008830, 2007.
Taylor, K. E.: Summarizing multiple aspects of model performance in a single
diagram, J. Geophys. Res.-Atmos., 106, 7183–7192, 2001.
Torres, O., Tanskanen, A., Veihelmann, B., Ahn, C., Braak, R., Bhartia, P. K.,
Veefkind, P., and Levelt, P.: Aerosols and surface UV products from Ozone
Monitoring Instrument observations: An overview, J. Geophys. Res.-Atmos.,
112, D24S47, https://doi.org/10.1029/2007JD008809, 2007.
Utrillas, M., Marín, M., Esteve, A., Estellés, V., Gandía, S.,
Núnez, J., and Martínez-Lozano, J.: Ten years of measured UV Index
from the Spanish UVB Radiometric Network, J. Photochem. Photobiol. B, 125, 1–7, 2013.
Veihelmann, B., Meijer, Y., Ingmann, P., Koopman, R., Wright, N., Courreges-Lacoste,
G. B., and Bagnasco, G.: The Sentinel-4 mission and its atmospheric composition
products, in: Proceedings of the 2015 EUMETSAT Meteorological Satellite
Conference, 8–12 June 2015, Heraklion, Crete, Greece, 21–25, 2015.
Walls, A. C., Han, J., Li, T., and Qureshi, A. A.: Host risk factors, ultraviolet
index of residence, and incident malignant melanoma in situ among US women and
men, Am. J. Epidemiol., 177, 997–1005, 2013.
Wang, J. and Christopher, S. A.: Mesoscale modeling of Central American smoke
transport to the United States: 2. Smoke radiative impact on regional surface
energy budget and boundary layer evolution, J. Geophys. Res.-Atmos., 111,
D14S92, https://doi.org/10.1029/2005JD006720, 2006.
Weatherhead, E. C., Tiao, G. C., Reinsel, G. C., Frederick, J. E., DeLuisi, J.
J., Choi, D., and Tam, W. k.: Analysis of long-term behavior of ultraviolet
radiation measured by Robertson-Berger meters at 14 sites in the United States,
J. Geophys. Res.-Atmos., 102, 8737–8754, 1997.
Weatherhead, E. C., Reinsel, G. C., Tiao, G. C., Meng, X. L., Choi, D., Cheang,
W. K., Keller, T., DeLuisi, J., Wuebbles, D. J., and Kerr, J. B.: Factors
affecting the detection of trends: Statistical considerations and applications
to environmental data, J. Geophys. Res.-Atmos., 103, 17149–17161, 1998.
Weatherhead, E. C., Reinsel, G. C., Tiao, G. C., Jackman, C. H., Bishop, L.,
Frith, S. M. H., DeLuisi, J., Keller, T., Oltmans, S. J., and Fleming, E. L.:
Detecting the recovery of total column ozone, J. Geophys. Res.-Atmos.,
105, 22201–22210, 2000.
Weihs, P., Blumthaler, M., Rieder, H. E., Kreuter, A., Simic, S., Laube, W.,
Schmalwieser, A. W., Wagner, J. E., and Tanskanen, A.: Measurements of UV irradiance
within the area of one satellite pixel, Atmos. Chem. Phys., 8, 5615–5626,
https://doi.org/10.5194/acp-8-5615-2008, 2008.
Wilks, D. S.: Chapter 5 – Frequentist Statistical Inference, edited by: Wilks,
D. S., Academic Press, San Diego, CA, USA, 133–186, 2011.
WMO: Global UV Index: A Practical Guide, WHO/SDE/OEH/02.2, Geneva, Switzerland, 2002.
WMO: Scientific Assessment of Ozone Depletion: 2014, Global Ozone Research
and Monitoring Project-Report No. 55, Geneva, Switzerland, 2014.
Xu, M., Liang, X.-Z., Gao, W., and Krotkov, N.: Comparison of TOMS retrievals
and UVMRP measurements of surface spectral UV radiation in the United States,
Atmos. Chem. Phys., 10, 8669–8683, https://doi.org/10.5194/acp-10-8669-2010, 2010.
Zempila, M.-M., Koukouli, M.-E., Bais, A., Fountoulakis, I., Arola, A., Kouremeti,
N., and Balis, D.: OMI/Aura UV product validation using NILU-UV ground-based
measurements in Thessaloniki, Greece, Atmos. Environ., 140, 283–297, 2016.
Zempila, M. M., Fountoulakis, I., Taylor, M., Kazadzis, S., Arola, A., Koukouli,
M. E., Bais, A., Meleti, C., and Balis, D.: Validation of OMI erythemal doses
with multi-sensor ground-based measurements in Thessaloniki, Greece, Atmos.
Environ., 183, 106–121, 2018.
Zhang, J. and Reid, J. S.: A decadal regional and global trend analysis of the
aerosol optical depth using a data-assimilation grade over-water MODIS and
Level 2 MISR aerosol products, Atmos. Chem. Phys., 10, 10949–10963,
https://doi.org/10.5194/acp-10-10949-2010, 2010.
Zhang, L., Henze, D. K., Grell, G. A., Torres, O., Jethva, H., and Lamsal, L.
N.: What factors control the trend of increasing AAOD over the United States
in the last decade?, J. Geophys. Res.-Atmos., 122, 1797–1810, 2017.
Zoogman, P., Liu, X., Suleiman, R., Pennington, W., Flittner, D., Al-Saadi, J.,
Hilton, B., Nicks, D., Newchurch, M., and Carr, J.: Tropospheric emissions:
Monitoring of pollution (TEMPO), J. Quant. Spectrosc. Ra., 186, 17–39, 2017.
Short summary
OMU-based surface erythemal UV irradiance is compared with ground observations in the United States from 2005 to 2017. We reveal that the assumption of constant atmospheric conditions between OMI overpass time and local solar noon time may not fully represent the real atmosphere and the peaks of surface UV are not always at local solar noon because of cloud effects. Future geostationary satellites (e.g., TEMPO) would reduce sampling bias and improve trend analysis of surface UV estimate.
OMU-based surface erythemal UV irradiance is compared with ground observations in the United...
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